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#softwaredevelopment

28 posts25 participants4 posts today

"A recent report by content delivery platform company Fastly found that at least 95% of the nearly 800 developers it surveyed said they spend extra time fixing AI-generated code, with the load of such verification falling most heavily on the shoulders of senior developers.

These experienced coders have discovered issues with AI-generated code ranging from hallucinating package names to deleting important information and security risks. Left unchecked, AI code can leave a product far more buggy than what humans would produce.

Working with AI-generated code has become such a problem that it’s given rise to a new corporate coding job known as “vibe code cleanup specialist.”

TechCrunch spoke to experienced coders about their time using AI-generated code about what they see as the future of vibe coding. Thoughts varied, but one thing remained certain: The technology still has a long way to go.

“Using a coding co-pilot is kind of like giving a coffee pot to a smart six-year-old and saying, ‘Please take this into the dining room and pour coffee for the family,’” Rover said.

Can they do it? Possibly. Could they fail? Definitely. And most likely, if they do fail, they aren’t going to tell you. “It doesn’t make the kid less clever,” she continued. “It just means you can’t delegate [a task] like that completely.”"

techcrunch.com/2025/09/14/vibe

TechCrunch · Vibe coding has turned senior devs into ‘AI babysitters,’ but they say it’s worth it | TechCrunchTechCrunch spoke to experienced coders about their time using AI-generated code about what they see as the future of vibe coding.

"You won't really use higher-level math in most areas of #softwaredevelopment ," I remembered my younger self telling even younger apprentice developers, as my mistaken self spent almost a year at night getting up to speed on Trig & Calc.

I put off math for 50 years. And that, folks, is what demand avoidance looks like 😂

"In our piece exploring whether the AI revolution is leaving APIs behind, we wrote about some of the factors limiting the extent to which AI tools like chatbots can interface with APIs.

Some of these include:

- Limited or no access to APIs for developers
- APIs are sometimes overcomplicated, bloated, or difficult to call
- Legacy APIs (WS/RPC) lack thorough or up-to-date documentation
- APIs sometimes only cover a fraction of the functions available via the UI

It’s worth noting that many of these points impact human API consumers just as much as they do agentic ones. If you’ve ever been in the position of trying to use an API and it falling short of your expectations, you’ll know just how frustrating it can be.

While it’s possible that some of those users will get in touch to ask you to add certain endpoints or clarify things, plenty more won’t. Some developers are more likely to take the view that it’s easier to ask for forgiveness later than permission now, and find some other way to extract the data they’re looking for. In many cases, web scraping offers just such a solution.

Web scraping APIs are a natural evolution of manual scraping techniques, such as using Python to scrape websites. Used for everything from scraping search engine results, like SERP APIs, to product prices and sentiment analysis, there are various services out there that make web scraping very straightforward. And they’re big business."

nordicapis.com/are-web-scrapin

Nordic APIs · Are Web Scraping Tools Overtaking Official APIs? | Nordic APIs |With web scraping tools and bots back in style, how do you win back users to your official API? It'll take more usable and effective APIs.

Wie ist das bei euch in den Firmen mit dem Einsatz von AI in der Softwareentwicklung?

Ich sehe langsam (endlich) eine gewisse Ernüchterung, was die Erwartungen und dem Realitäts-Check betrifft. Trotzdem wollen viele nicht loslassen, habe ich noch das Gefühl. Wie ist es bei euch in der Firma?

Bitte etwas Boosten, damit ich mal einen groben Überblick bekomme 😆.

Gerne auch Replies.

"Since the appearance of LLMs, writers have been concerned with AI disrupting our craft or making it disappear. In a recent post, a user asks “How do I pivot to a career path that won’t revolve around AI”. One of the answers, in typical Reddit style, recommends becoming a welder. Another compares the original poster with an encyclopedia’s salesmen, anchored in anachronistic ideals.

My answer is that no, we’re not going to disappear, because LLMs will always suck at what makes us indispensable. Instead, we’re going to shift to roles that are more editorial and grounded in strategy and coding than in writing, which isn’t the most important part of our job anyway. Start experimenting with AI right now, because the future of most intellectual work is augmentation. If you let businesses own the narrative around docs and AI, you’ll be left out of the picture. If the thought of using AI disgusts you, you might be humanizing it: Think of it as just a tool."

passo.uno/tech-writing-optimis

Hypothetically speaking, of course, couldn't there be a Spotify client that records audio in real-time using a virtual audio interface and grabs the song/album info from the #Spotify catalogue and sets the tags and filenames accordingly?
#SoftwareDevelopment